https://github.com/aeleraqi/data-literacy-curriculum

The Data Literacy Curriculum is designed to equip students with essential skills in understanding, finding, and extracting data from various sources.
https://github.com/aeleraqi/data-literacy-curriculum

ai data-science data-visualization

Last synced: 5 months ago
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The Data Literacy Curriculum is designed to equip students with essential skills in understanding, finding, and extracting data from various sources.

• Host: GitHub
• URL: https://github.com/aeleraqi/data-literacy-curriculum
• Owner: aeleraqi
• Created: 2024-04-26T08:47:17.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-10-15T23:27:00.000Z (over 1 year ago)
• Last Synced: 2025-04-06T15:18:56.141Z (over 1 year ago)
• Topics: ai, data-science, data-visualization
• Homepage: https://docs.google.com/presentation/d/1-ltk3-wy74GOrljzkPncTcmJq40avIXFKN-p6laU1Uk/edit?usp=sharing
• Size: 13.8 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# 📊 Data-Literacy-Curriculum

## 📚 Lesson 01: Understanding Data

[![Lesson 01](https://img.shields.io/badge/Lesson%2001-PDF-blue)](https://github.com/aeleraqi/Data-Literacy-Curriculum/blob/main/Lesson%2001.pdf)

### Objective:

- Introduce students to the fundamentals of data and common data types/formats.

- Overview of data types: numerical, categorical, ordinal, etc.

- Common data formats: CSV, JSON, XML, etc.

- Examples and exercises to familiarize students with different data types and formats.

---

## 📚 Lesson 02: Finding Data

[![Lesson 02](https://img.shields.io/badge/Lesson%2002-PDF-blue)](https://github.com/aeleraqi/Data-Literacy-Curriculum/blob/main/Lesson%2002.pdf)

### Objective:

- Teach students advanced search techniques to effectively locate relevant data using Google and other search engines.

- Refining search queries using operators and modifiers.

- Utilizing advanced search features like filters and search operators.

- Practical exercises to practice searching for specific datasets.

---

## 📚 Lesson 03: Data Scraping - Extracting Data from the Web

[![Lesson 03](https://img.shields.io/badge/Lesson%2003-PDF-blue)](https://github.com/aeleraqi/Data-Literacy-Curriculum/blob/main/Lesson%2003.pdf)

### Objective:

- Introduce students to web scraping as a method to extract data from websites.

- Overview of web scraping tools and libraries (e.g., BeautifulSoup, Scrapy).

- Understanding HTML structure and elements for data extraction.

- Hands-on exercises to scrape data from simple web pages.

---

## 📚 Lesson 04: Data Scraping - Extracting Data from PDFs

[![Lesson 04](https://img.shields.io/badge/Lesson%2004-PDF-blue)](https://github.com/aeleraqi/Data-Literacy-Curriculum/blob/main/Lesson%2004.pdf)

### Objective:

- Extend students' knowledge of data scraping to extract data from PDF documents.

- Techniques for parsing PDF documents programmatically.

- Handling different types of PDF layouts and structures.

- Practical exercises to extract data from PDF files.

---

## 🤝 Contributing

Contributions are welcome! If you have suggestions or improvements, feel free to fork the repository and submit a pull request.

1. Fork the project.

2. Create your feature branch (`git checkout -b feature/YourFeature`).

3. Commit your changes (`git commit -m 'Add some feature'`).

4. Push to the branch (`git push origin feature/YourFeature`).

5. Open a pull request.

## 📄 License

This project is licensed under the MIT License. If you use or adapt this curriculum, please cite it as follows:

> Eleraqi, A. (2024). *Data Literacy Curriculum*. GitHub Repository. [https://github.com/aeleraqi/Data-Literacy-Curriculum](https://github.com/aeleraqi/Data-Literacy-Curriculum)